what does unpack_patch2col exactly do?

[DrustZ]

I know that this function is to vectorize a matrix to prepare for the convolution,
but in detail, the function receive params (input_image, filter_height, filter_width, stride)
and output a tensor<2>,whose shape is (channel * filter_height * filter_width, batch * ouput_height * output_width)

so I think this function convert the matrix to suit the “dot“ function with filter.

thus , for example , if I input a image tensor ``IMG`` 1 * 2 * 1 * 3, meaning 1 batch, 2 channels, 1 height , 3 width , the first channel of IMG is (1,2,3), the second is (4,5,6), then I apply `` unpack_patch2col(IMG, 1, 2, 1)`` which means the filter is 1 * 2, then the output shoud be like a tensor, (1, 2, 2, 3, 4, 5, 5, 6) but all I get is (6, 2, 6, 2, 6, 2, 6, 2)

Anyone helps me about the function?

[DrustZ]

My fault, I use %d to show the result which is double...
So the result 1 2 2 3 4 5 5 6 is right.